Full-Stack Product Engineer

Job not on LinkedIn

🕒 March 27

🏢🏡 San Francisco – Hybrid

💵 $150k - $230k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LlamaIndex

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

LlamaIndex is a data framework specifically designed for building production-quality LLM (Large Language Model) agents over various datasets. It provides tools and documentation for developers looking to create efficient LLM applications. LlamaIndex aims to streamline the integration of language models with user data, making it an essential resource for software development in the AI space.

📋 Description

• Front-end/full-stack work for our managed applications/SaaS offering. • FE stack Next.JS, shadcn, react-query, etc. • Backend stack: Python, Node.JS, K8s, Docker, Terraform, Cloud services, databases, etc. • General feature development, maintenance, and education for our open-source frameworks (Python and Typescript). • Work closely with prospects and customers to build POC and production solutions.

🎯 Requirements

• 2+ years of experience • Experience with shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time. • Shipped AI/LLM-native applications - from UX to core algorithms. • Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features. • Worked with product and design, demonstrating instances of wearing the PM hat yourself to proactively scope and design features. • Shipped applications that scaled to millions of users. • Nice to have: machine learning and NLP experience.

🏖️ Benefits

• Competitive base salary and equity compensation • Comprehensive medical/dental/vision coverage for you and your family • Unlimited paid time off policy • Daily catered lunch and snacks in the San Francisco office